Most FinOps tools tell you the bill. We tell you why — and orchestrate the fix. Click any engine below to see the actual code, JSON, or decision table it produces — no signup needed.
One engine (Budget Negotiator™) is patent-pending. The rest are proprietary trade secrets — built from scratch, optimized for our customers, and shipped before competitors notice the category.
Most FinOps tools observe spend after the fact (Vantage waits 4–24h for billing API updates). These six engines interrupt the bleed at the source — at the proxy, at the PR, at the GPU bid, at the cross-cloud pipeline, at the SaaS contract.
Why did the cloud bill move? Engines that answer with math and orchestration.
Mathematically-fair cost attribution across K8s pods, shared services, and untagged resources.
Engines purpose-built for LLM cost, real-time unit economics, and multi-signal forecasting.
Joint cost-carbon optimization, value-chain emissions, and trust-first auto-remediation.
12 of 12 pains addressed at CARTIE.8 of 12 pillars where we're first to ship — no one else even attempts. The remaining 4 pillars are competitive or partner-with-incumbent territory.
| Pain | CARTIE | Vantage | CloudHealth | Kubecost | Datadog | Helicone | Watershed |
|---|---|---|---|---|---|---|---|
| 1 · Where did $$ go? | ● | ◐ | ◐ | ◐ | ◐ | ○ | ○ |
| 2 · LLM cost runaway | ● | ○ | ○ | ○ | ◐ | ◐ | ○ |
| 3 · Shared resource splits | ● | ◐ | ◐ | ◐ | ○ | ○ | ○ |
| 4 · Untagged / mistagged | ● | ◐ | ◐ | ○ | ○ | ○ | ○ |
| 5 · Forecasting | ● | ◐ | ◐ | ○ | ○ | ○ | ○ |
| 6 · Commitments | ◐ | ● | ◐ | ○ | ○ | ○ | ○ |
| 7 · Spot bidding | ● | ◐ | ○ | ○ | ○ | ○ | ○ |
| 8 · Multi-currency | ● | ○ | ○ | ○ | ○ | ○ | ◐ |
| 9 · Cross-team orchestration | ● | ○ | ○ | ○ | ○ | ○ | ○ |
| 10 · Trust auto-remediation | ● | ◐ | ◐ | ○ | ○ | ○ | ○ |
| 11 · PR-time decisions | ● | ○ | ○ | ○ | ○ | ○ | ○ |
| 12 · Sustainability Scope 2+3 | ● | ◐ | ◐ | ○ | ○ | ○ | ◐ |
| Score (12 max) | 11.5 | 4.5 | 4.5 | 1.5 | 1.0 | 1.0 | 1.5 |
Connect a cloud account and let CARTIEAI explain your bill, fix waste in shadow-mode, and forecast next month with ML-powered confidence intervals.